Triple
T30247962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thang Long Water Puppet Theatre |
E769109
|
entity |
| Predicate | usesLanguageSupport |
P173412
|
FINISHED |
| Object | explanatory materials for foreign visitors |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: explanatory materials for foreign visitors | Statement: [Thang Long Water Puppet Theatre, usesLanguageSupport, explanatory materials for foreign visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLanguageSupport Context triple: [Thang Long Water Puppet Theatre, usesLanguageSupport, explanatory materials for foreign visitors]
-
A.
usesLanguageFor
Indicates that an entity employs a particular language as a tool or medium to perform some activity, function, or purpose.
-
B.
isSupportedByLanguage
Indicates that something (such as a feature, format, or construct) is compatible with and can be handled or recognized by a particular language.
-
C.
usesLanguageAs
Indicates that one entity communicates or operates using another entity as its language or linguistic medium.
-
D.
mayUseLanguagesOf
Indicates that an entity is permitted to use the languages associated with another entity.
-
E.
supportsLanguageOverrides
Indicates that an entity allows its default behavior or settings to be modified based on specific language selections or preferences.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 29, 2026, 7:40 p.m.